A AI chatbot for a energy and utilities business tackles one specific leak: customers ring and message all day with the same questions: why is my bill higher this quarter, when will my connection go live, what is this network charge, how do I set up a payment plan. Each contact pulls an agent off more complex work to look the answer up across billing and CRM, and after hours the questions just bank up as tickets to clear in the morning. Bamco builds it around the tools you already run, so it fits your operation rather than forcing you to change how you work.
Information current as at 4 July 2026
Customers ring and message all day with the same questions: why is my bill higher this quarter, when will my connection go live, what is this network charge, how do I set up a payment plan. Each contact pulls an agent off more complex work to look the answer up across billing and CRM, and after hours the questions just bank up as tickets to clear in the morning.
This is not a generic problem with a generic tool bolted on. It is a specific leak in a energy and utilities business, and the system is built to close it. You can see the full picture of where a energy and utilities business leaks margin on the energy and utilities industry page.
An assistant that answers account and billing questions from your live customer data. It draws on what sits in Gentrack or Utilibill and your Salesforce CRM, current balance, tariff, usage, connection status and payment arrangements, and answers a customer in plain language on your website, over SMS, or inside Zendesk. When a query needs a person, such as a hardship case or a complex dispute, it routes it to the right team with the account and full context already attached, rather than a cold ticket in a queue.
Bring us the idea you already have, or book an audit and we map where the money is leaking. Either way, you deal directly with the senior team that designs and builds it.
Week one. From the first week, routine billing and connection questions get answered instantly instead of tying up agents, and after-hours queries stop piling up as tickets to clear the next morning.
Month three. By month three the assistant has learned the questions your customers actually ask, deflects a meaningful share of the contacts that used to hit the centre, and gives you a record of what people keep asking, which tells you where your bills and communications confuse customers most.
Engagements typically start around $50k and are scoped after a systems audit, priced as a fraction of what a legacy build of the same capability would have quoted. You get a fixed-scope proposal with a real number before anything is built, and you own what we build. The point is not the price. It is that a well-built AI chatbot for a energy and utilities business is meant to pay for itself in multiples, by plugging a leak that is costing you every week it stays open.
Whether you can name exactly what you want built, or you just know something is leaking, the next step is the same conversation.